Spectral characterization and classification of two different crown root rot and vascular wilt diseases (fusarium oxysporum f.sp. radicis lycopersici and fusarium solani) in tomato plants using different machine learning algorithms

Author:

Bilgili AyşinORCID,Bilgili Ali Volkan,Tenekeci Mehmet Emin,Karadağ Kerim

Publisher

Springer Science and Business Media LLC

Subject

Horticulture,Plant Science,Agronomy and Crop Science

Reference32 articles.

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3. Aydemir, O., & Kayikcioglu, T. (2013). Comparing common machine learning classifiers in low-dimensional feature vectors for brain computer interface applications. International Journal of Innovative Computing, Information and Control, 9(3), 1145–1157.

4. Bauriegel, E., Giebel, A., Geyer, M., Schmidt, U., & Herppich, W. B. (2011). Early detection of fusarium infection in wheat hyper-spectral imaging. Computers in Agriculture, 75, 304–312.

5. Bilgili, A. (2017). Determination of root rot factors in GAP region pepper cultivation, molecular characterization of the active pathogen and investigation of the efficiency of mycorrhiza in its control. Harran University.

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